From November 18 to 20 the KAUST CEMSE Division has hosted the 2019 Statistics and Data Science Workshop. The workshop, organized by Workshop Chair Professor Ying Sun from the KAUST Environmental Statistics Group, featured 17 keynote talks from eminent data science researchers from Asia, Europe, North America and on-campus.
The future has already arrived when it comes to the most exciting and promising field of modern medicine—precision medicine.
Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.
Wanfang Chen, a Ph.D. candidate in statistics, and member of Distinguished Professor Marc Genton’s Spatio-Temporal Statistics & Data Science (STSDS) research group, recently won a Student Paper Award sponsored by the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA).
Pinpoint mesh of smart underground objects could give real-time 3D readout of fossil fuel reserves.
Marc Genton, chair, and distinguished professor of the KAUST Statistics Program, was recently selected as the 2020 Georges Matheron Lecturer of the International Association for Mathematical Geosciences (IAMG).
Gaurav Agarwal, a fourth-year Ph.D. student in KAUST Associate Professor Ying Sun’s Environmental Statistics (ES) research group, recently won the best student paper award at the International Indian Statistical Association (IISA) 2019 Student Paper Competition for his paper titled “Bivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data.”
Joining the faculty of King Abdullah University of Science and Technology (KAUST) six years ago gave statistics Professor Ying Sun a unique career opportunity: the chance to build and lead her own research group solving real-world problems.
This October, Zhuo Qu, a Ph.D. candidate in statistics, along with several of her fellow Statistics (STAT) Program students launched the first-ever American Statistical Association (ASA) student chapter outside of the United States.
Better prediction of extreme winds at sparsely observed locations could help optimize the design of wind farms.
Factors influencing the tolerance of barley to saline soils have been uncovered using an advanced robust statistical technique.
Ajay Jasra is a professor of applied mathematics and computational sciences who recently joined the KAUST CEMSE Division in July 2019.
New methods for training machine learning models are quicker and more accurate than current approaches, previously considered state-of-the-art.
David Bolin is an associate professor of mathematical statistics who joined the KAUST Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division earlier this month from the Department of Mathematical Sciences at the University of Gothenburg. Before joining KAUST, Bolin received both his Ph.D. degree in mathematical statistics and M.S.c in engineering mathematics from Lund University, Sweden, in 2012 and 2007, respectively. Upon completing his Ph.D., he spent one year at Umeå University, Sweden, working as a postdoctoral fellow before moving to the Chalmers University of Technology. In 2016, Bolin became an associate professor of mathematics at the University of Gothenburg, where a year later he received the title of Docent in mathematical statistics.